機械学習:Machine Learning

IOT技術:IOT Technology

Weather Forecasting and Data Science

Weather forecasting and data assimilation for simulation and data science integration for digital transformation, artificial intelligence, and machine learning task utilization
Symbolic Logic

Uncertainty Reasoning for the Semantic Web 2

This is the second volume on “Uncertainty Reasoning for the Semantic Web,” containing revised and...
機械学習:Machine Learning

Machine Learning Professional Series “Theory and Algorithms for Bandit Problems” Reading notes

Machine Learning Professional Series "Theory and Algorithms for Bandit Problems" Reading notes The Bandit Proble...
アルゴリズム:Algorithms

Protected: Regression Analysis with Support Vector Machines (2) Approach to Nonlinear Regression Problems

Approaches to nonlinear regression problems with support vector machines (quantile regression, kernel quantile regression, heterogeneous distribution models, ε-insensitive loss functions) utilized in digital transformation, artificial intelligence, and machine learning tasks.
IOT技術:IOT Technology

Protected: Time series data analysis (3)Filtering of nonlinear and non-Gaussian state space models (e.g. particle filter)

Filtering and smoothing of nonlinear and non-Gaussian state-space models using particle filters in the analysis of time-series data with state-space models for digital transformation, artificial intelligence, and machine learning tasks
C/C++

Programming Technology Overview

Programming Technology Overview Introduction This section provides an overview of programming langua...
Stream Data Processing

Protected: Simulation, Data Assimilation, and Emulation

Fusion of extrapolation (deduction) estimation using simulation and interpolation (induction) estimation using machine learning (simulation assimilation and emulation using DNN, etc.) for digital transformation, artificial intelligence and machine learning tasks
アルゴリズム:Algorithms

Simulation, Data Science and Artificial Intelligence

Topics on simulation and data science and artificial intelligence used for digital transformation , artificial intelligence and machine learning tasks
IOT技術:IOT Technology

Protected: Differences between hidden Markov models and state-space models and parameter estimation for state-space models

Differences between state-space models, Bayesian models, and hidden Markov models used in digital transformation, artificial intelligence, and machine learning tasks, and parameter estimation for state-space models
微分積分:Calculus

Protected: Regression Analysis with Support Vector Machines (1)Approach to linear regression problems

Regression problems with linear functions using dual problems with Lagrangian functions with support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks
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